Division I and Parafencing Nat'l Championships & April NAC

Div II Women's Saber

Sunday, April 24, 2022 at 8:00 AM

Charlotte, NC, USA

Probability density of pool victories

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Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 SCHIMINOVICH Sophia I. - 4% 18% 35% 31% 11%
2 YANG Angelina LeLe - 3% 13% 31% 36% 17%
3 SCALAMONI-GOLDSTEIN Charlotte S. - - - 1% 9% 35% 55%
3 PAUL Lila - - - 4% 19% 41% 35%
5 FEARNS Zara A. - - 3% 17% 41% 39%
6 NATHANSON Sammy E. - - 3% 13% 31% 36% 17%
7 KYNETT Kathryn G. - 2% 14% 41% 42%
8 WU Helen - 1% 8% 23% 35% 26% 7%
9 CHEN Ashley - 1% 9% 31% 42% 17%
10 SO Catelyn - 4% 16% 32% 31% 15% 3%
11 JOHNSON Dagny L. - - 3% 14% 32% 35% 15%
12 TONG Jessie 1% 10% 28% 36% 20% 4%
13 FANG Sabrina - 4% 18% 36% 32% 10%
14 FESTA Carina - 3% 14% 33% 36% 15%
15 LEMUS-IAKOVIDOU ALEXANDRA 6% 27% 39% 23% 5%
16 NAYAK Indra 6% 23% 35% 26% 9% 1%
17 NGUYEN Siena - 5% 18% 33% 29% 13% 2%
18 KANTIPUDI Shrika - 4% 18% 38% 31% 8%
19 PALEO Gabriella - 2% 13% 32% 37% 16%
19 NGUYEN Ella - 5% 21% 37% 29% 8%
21 CHIANG Emily - 4% 18% 36% 31% 10%
22 LUKER Sophia 2% 14% 35% 36% 13%
23 HURST Kennedy 1% 8% 28% 42% 22%
24 XIKES Katherine E. - - 3% 14% 32% 35% 15%
25 LIU Zhi Jun 1% 6% 22% 34% 26% 9% 1%
26 ANTHONY Alexia B. - 3% 14% 33% 35% 14%
27 LIGH Erenei J. 1% 5% 21% 36% 29% 9%
28 CHEN Kevy 11% 32% 35% 17% 4% -
29 NOVICK Mia J. 2% 13% 30% 34% 18% 4%
30 BARNOVITZ Maya 3% 16% 33% 32% 14% 2%
30 LI Angela 10% 32% 36% 18% 4% -
32 LIN Nicole 2% 14% 30% 32% 17% 5% -
33 DILLE Carolina G. 1% 6% 20% 33% 28% 11% 2%
34 ZHAO Emily W. 6% 24% 35% 25% 9% 2% -
35 YU Zhiang 2% 16% 33% 31% 15% 3% -
36 BAKER Audrey C. - - 2% 9% 26% 40% 23%
37 CHRISTOTHOULOU Olympia C. 1% 7% 23% 34% 26% 9% 1%
38 LIM Jaslene 1% 6% 20% 34% 28% 10% 1%
38 YANG Lea - 2% 10% 26% 35% 22% 5%
40 HUANG MADELINE 1% 10% 30% 37% 18% 3%
41 DAI Olivia 17% 38% 31% 11% 2% -
42 REN Xinling 7% 25% 36% 24% 7% 1%
43 SADOVA Olga 6% 24% 36% 25% 8% 1%
44 MACE Eliza M. - - 4% 21% 44% 31%
45 TSUI Natalie 3% 18% 39% 32% 8%
46 DENG Brooke 9% 32% 39% 18% 2%
47 WANG Zidan - 3% 12% 29% 35% 18% 3%
48 KNIGHT Skylar - 4% 17% 32% 30% 14% 2%
49 HE Lizbeth 1% 7% 23% 34% 25% 8% 1%
50 MARYASH Samantha 7% 30% 40% 20% 3%
51 LI Alexis 13% 38% 34% 12% 2% -
52 WU Lanting 3% 14% 31% 33% 16% 3%
53 LIM Jovine 3% 15% 32% 33% 15% 2%
54 COLTER Aurora 1% 7% 23% 34% 25% 9% 1%
55 NAYAK Anika 6% 23% 35% 26% 9% 1% -
56 JEAN Emmanuelle C. 9% 30% 35% 19% 5% 1% -
57 PANIGRAHI Kingsley 10% 30% 35% 19% 5% 1% -
57 LO JOCELYN 16% 36% 31% 13% 3% - -
59 FEIG Sela 8% 31% 38% 19% 3%
60 LIAO Siwen - 3% 14% 33% 36% 14%
61 NAYAK Esha 4% 20% 36% 29% 11% 1%
62 CHAPMAN-LAYLAND Astrid M. 7% 25% 36% 24% 7% 1%
63 LIN Sarah 11% 34% 36% 16% 3% -
64 ALFARACHE Gabriella C. - 5% 20% 33% 28% 12% 2%
65 HOLMES Emma - 1% 8% 23% 35% 26% 7%
66 CHIN Elise 1% 9% 25% 34% 23% 8% 1%
67 JEAN Olympe G. - 3% 13% 29% 33% 18% 4%
68 SCOTT Eve 7% 24% 35% 25% 9% 1% -
69 JEONG Katie - 2% 11% 28% 34% 20% 4%
70 YAN Lena 22% 40% 27% 9% 1% -
71 LIU Sumin 4% 18% 33% 30% 13% 2%
72 WUNNAVA Elina 11% 34% 36% 15% 3% -
73 YANG Jenny J. 10% 30% 35% 20% 5% 1%
74 MONTORIO Lily M. 4% 21% 35% 27% 11% 2% -
75 XU Emily T. 1% 8% 24% 34% 24% 8% 1%
76 MUELLER Amelia D. 6% 23% 34% 26% 10% 2% -
77 TRUBEY Elise - 2% 11% 28% 34% 20% 4%
78 TUNG Renee 28% 43% 23% 6% -
79 SCHIKORE Anna M. 31% 43% 21% 4% -
80 PANIGRAHI Emersen 20% 40% 29% 9% 1% -
81 MANN Sophia J. 9% 28% 36% 21% 6% -
82 NAYAK Mira 7% 28% 38% 21% 5% -
83 LI Victoria 18% 40% 31% 10% 1% -
84 ORLOFSKY Sydney - 5% 19% 35% 30% 10%
85 GLUCK Myriam 2% 13% 31% 33% 17% 4% -
86 ROBINSON Emerald 25% 40% 25% 8% 1% - -
87 YAO Rainie 21% 39% 28% 10% 2% - -
88 YOUNG Audrey 4% 18% 33% 29% 13% 3% -
89 SCHICK Veronica 4% 18% 33% 29% 13% 3% -
90 RANDALL Cathleen Coyle 8% 27% 36% 22% 6% 1%
91 CHEN Yuhan (Daisy) 9% 31% 36% 19% 4% -
92 TODD Phoebe 6% 25% 37% 24% 7% 1%
93 ZHOU Ruoxi ( Jasmine) 27% 41% 24% 7% 1% - -
94 WUNNAVA Ellora 52% 36% 10% 1% - - -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.